Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : AWS Glue
Good to have skills : Amazon Web Services (AWS), Data Engineering, PySpark
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining robust data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure high data quality. Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems. This position requires a proactive approach to managing data workflows and collaborating with different teams to support organizational data needs effectively.
Roles & Responsibilities:
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : AWS Glue
Good to have skills : Amazon Web Services (AWS), Data Engineering, PySpark
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining robust data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure high data quality. Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems. This position requires a proactive approach to managing data workflows and collaborating with different teams to support organizational data needs effectively.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
- Monitor and optimize data pipelines to ensure performance and reliability.
- Document data processes and workflows to maintain clarity and support knowledge sharing.
- Assist junior team members by providing guidance and support in their tasks.
- Must To Have Skills: Proficiency in AWS Glue, PySpark, Data Engineering, Amazon Web Services (AWS).
- Experience with distributed data processing frameworks and cloud-based data services.
- Strong understanding of data pipeline architecture and ETL best practices.
- Ability to troubleshoot and resolve data integration and processing issues.
- Familiarity with data storage solutions and data modeling concepts.
- The candidate should have minimum 3 years of experience in AWS Glue.
- This position is based at our Pune office.
- A 15 years full time education is required.
Data Engineer
Accenture in India
linkedin
Pune Division, Maharashtra, India
15-17 years Not Disclosed
Full time
05 May 2026
Top Skills:
Amazon Web ServiceArchitectureAwsAws GlueCloudCollectionData IntegrationData ModelingData PipelineData ProcessingData QualityData StorageEtlPyspark
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Job Description
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Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : AWS Glue
Good to have skills : Amazon Web Services (AWS), Data Engineering, PySpark
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining robust data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure high data quality. Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems. This position requires a proactive approach to managing data workflows and collaborating with different teams to support organizational data needs effectively.
Roles & Responsibilities:
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : AWS Glue
Good to have skills : Amazon Web Services (AWS), Data Engineering, PySpark
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining robust data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure high data quality. Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems. This position requires a proactive approach to managing data workflows and collaborating with different teams to support organizational data needs effectively.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
- Monitor and optimize data pipelines to ensure performance and reliability.
- Document data processes and workflows to maintain clarity and support knowledge sharing.
- Assist junior team members by providing guidance and support in their tasks.
- Must To Have Skills: Proficiency in AWS Glue, PySpark, Data Engineering, Amazon Web Services (AWS).
- Experience with distributed data processing frameworks and cloud-based data services.
- Strong understanding of data pipeline architecture and ETL best practices.
- Ability to troubleshoot and resolve data integration and processing issues.
- Familiarity with data storage solutions and data modeling concepts.
- The candidate should have minimum 3 years of experience in AWS Glue.
- This position is based at our Pune office.
- A 15 years full time education is required.